Results 31 to 40 of about 1,182 (196)
Remote Sensing, 2022 The noise attenuation of seismic data is an indispensable part of seismic data processing, directly impacting the following inversion and imaging. This paper focuses on two bottlenecks in the AI-based denoising method of seismic data: the destruction of ...
Wenda Li, Tianqi Wu, Hong Liu
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A method of combining coherence-constrained sparse coding and dictionary learning for denoising [PDF]
, 2017 We have addressed the seismic data denoising problem, in which the noise is random and has an unknown spatiotemporally varying variance. In seismic data processing, random noise is often attenuated using transform-based methods.
Turquais, Pierre +2 more
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Seismic random noise suppression using improved CycleGAN
Frontiers in Earth Science, 2023 Random noise adversely affects the signal-to-noise ratio of complex seismic signals in complex surface conditions and media. The primary challenges related to processing seismic data have always been reducing the random noise and increasing the signal-to-
Shimin Sun +8 more
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Denoising ambient seismic field correlation functions with convolutional autoencoders [PDF]
, 2020 Seismic interferomestry is an established method for monitoring the temporal evolution of the Earth's physical properties. We introduce a new technique to improve the precision and temporal resolution of seismic monitoring studies based on deep learning.
Chris Van Houtte, Loïc Viens
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 In seismic data processing, denoising and reconstruction are the two steps for identification of resources in the earth subsurface layers. The seismic data quality is affected by random noise and interference during acquisition.
Lakshmi Kuruguntla +4 more
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Energies, 2022 Optical fiber seismic exploration technology has been widely used in marine oil and gas hydrate exploration due to its wide frequency band and high sensitivity. However, there are more types of noise in the collected data by optical fiber hydrophone than
Hongfei Qian +3 more
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Anisotropic Total Fractional Order Variation Model in Seismic Data Denoising [PDF]
, 2018 In seismic data processing, attenuation of random noise is the basic step to improve quality of data for further application of seismic data in exploration and development in different gas and oil industries.
Diriba Gemechu, Jianwei Ma
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Higher-Resolution-and-Less-Noisy-Seismic-Images-An-Application-of-Generative-Adversarial-Neural-Net [PDF]
, 2022 An application of generative adversarial networks to seismic data processing (resolution ehancement and denoising). This is a repository for the paper "Higher Resolution and Less Noisy Seismic Images: An Application of Generative Adversarial Neural Net" (
Lei Lin (12656614)
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A Natural Images Pre-Trained Deep Learning Method for Seismic Random Noise Attenuation
Remote Sensing, 2022 Seismic field data are usually contaminated by random or complex noise, which seriously affect the quality of seismic data contaminating seismic imaging and seismic interpretation. Improving the signal-to-noise ratio (SNR) of seismic data has always been
Haixia Zhao, Tingting Bai, Zhiqiang Wang
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Multi-scale interactive network in the application of DAS seismic data processing
Frontiers in Earth Science, 2023 Distributed acoustic sensing (DAS) is regarded as a novel acquisition technology for seismic data. Compared with conventional electrical geophones, DAS has a series of obvious advantages including low-cost, high spatial resolution, good coverage, and ...
Hongzhou Wang +5 more
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